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Journal of Ocean Engineering and Science 2024年第2期9卷 173-177页

作者： Tukur Abdulkadir Sulaiman Abdullahi Yusuf Alrazi Abdeljabbar Mustafa Bayram department of Computer Engineering Biruni UniversityIstanbulTurkey department of mathematics Federal University DutseJigawaNigeria department of mathematics Near East University TRNCMersin 10Turkey department of mathematics Khalifa University for Science and TechnologyAbu DhabiUAE

A soliton is a packet of self-reinforcing waves that maintains its structure when moving at a constant *** are caused by the cancellation of the medium’s nonlinear and dispersive *** plas-mas,the bilinear form of Hirota will be utilized to investigate the(2+1)-dimensional Korteweg-de Vries equation with electrostatic wave *** for complexiton lump interaction have been *** throw further light on the physical qualities of the recorded data,certain 3-dimensional and contour plots are presented to illustrate the interaction elements of these solutions.

关键词： (2+1)-dimensional Korteweg-de Vries equation Multi waves solutions Brether waves solutions Numerical simulations

Modified DS np Chart Using Generalized Multiple Dependent State Sampling under Time Truncated Life Test

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2471-2495页

作者： Wimonmas Bamrungsetthapong Pramote Charongrattanasakul Division of Applied Statistics Department of Mathematics and Computer ScienceFaculty of Science and TechnologyRajamangala University of Technology ThanyaburiPathum Thani12110Thailand Division of mathematics Department of Mathematics and Computer ScienceFaculty of Science and TechnologyRajamangala University of Technology KrungthepBangkok10120Thailand

This study presents the design of a modified attributed control chart based on a double sampling(DS)np chart applied in combination with generalized multiple dependent state(GMDS)sampling to monitor the mean life of the product based on the time truncated life test employing theWeibull *** control chart developed supports the examination of the mean lifespan variation for a particular product in the process of *** control limit levels are used:the warning control limit,inner control limit,and outer control ***,they enhance the capability for variation detection.A genetic algorithm can be used for optimization during the in-control process,whereby the optimal parameters can be established for the proposed control *** control chart performance is assessed using the average run length,while the influence of the model parameters upon the control chart solution is assessed via sensitivity analysis based on an orthogonal experimental design withmultiple linear regression.A comparative study was conducted based on the out-of-control average run length,in which the developed control chart offered greater sensitivity in the detection of process shifts while making use of smaller samples on average than is the case for existing control ***,to exhibit the utility of the developed control chart,this paper presents its application using simulated data with parameters drawn from the real set of data.

关键词： Modified DS np chart generalizedmultiple dependent state sampling time truncated life test Weibull distribution average run length average sample size

Adaptive Sparse Grid Discontinuous Galerkin Method:Review and Software Implementation

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Communications on Applied mathematics and Computation 2024年第1期6卷 501-532页

作者： Juntao Huang Wei Guo Yingda Cheng department of mathematics and Statistics Texas Tech UniversityLubbockTX79409USA department of Computational mathematics Science and EngineeringMichigan State UniversityEast LansingMI48824USA department of mathematics Michigan State UniversityEast LansingMI48824USA

This paper reviews the adaptive sparse grid discontinuous Galerkin(aSG-DG)method for computing high dimensional partial differential equations(PDEs)and its software *** C++software package called AdaM-DG,implementing the aSG-DG method,is available on GitHub at https://***/JuntaoHuang/*** package is capable of treating a large class of high dimensional linear and nonlinear *** review the essential components of the algorithm and the functionality of the software,including the multiwavelets used,assembling of bilinear operators,fast matrix-vector product for data with hierarchical *** further demonstrate the performance of the package by reporting the numerical error and the CPU cost for several benchmark tests,including linear transport equations,wave equations,and Hamilton-Jacobi(HJ)equations.

关键词： Adaptive sparse grid Discontinuous Galerkin High dimensional partial differential equation Software development

Mutual information oriented deep skill chaining for multi‐agent reinforcement learning

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 1014-1030页

作者： Zaipeng Xie Cheng Ji Chentai Qiao WenZhan Song Zewen Li Yufeng Zhang Yujing Zhang Key Laboratory of Water big data Technology of Ministry of Water Resources Hohai UniversityNanjingChina College of Computer and Information Hohai UniversityNanjingChina Center for Cyber‐Physical Systems University of GeorgiaAthensGeorgiaUSA Information Networking Institute Carnegie Mellon UniversityPittsburghPennsylvaniaUSA department of Electrical and Systems Engineering University of PennsylvaniaPhiladelphiaPennsylvaniaUSA

Multi‐agent reinforcement learning relies on reward signals to guide the policy networks of individual ***,in high‐dimensional continuous spaces,the non‐stationary environment can provide outdated experiences that hinder convergence,resulting in ineffective training performance for multi‐agent *** tackle this issue,a novel reinforcement learning scheme,Mutual Information Oriented Deep Skill Chaining(MioDSC),is proposed that generates an optimised cooperative policy by incorporating intrinsic rewards based on mutual information to improve exploration *** rewards encourage agents to diversify their learning process by engaging in actions that increase the mutual information between their actions and the environment *** addition,MioDSC can generate cooperative policies using the options framework,allowing agents to learn and reuse complex action sequences and accelerating the convergence speed of multi‐agent *** was evaluated in the multi‐agent particle environment and the StarCraft multi‐agent challenge at varying difficulty *** experimental results demonstrate that MioDSC outperforms state‐of‐the‐art methods and is robust across various multi‐agent system tasks with high stability.

关键词： artificial intelligence techniques decision making intelligent multi‐agent systems

Large Deviations for a Critical Galton-Watson Branching Process

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Acta Mathematicae Applicatae Sinica 2024年

作者： Dou-dou LI Wan-lin SHI Mei ZHANG College of Statistics and data Science Faculty of Science Beijing University of Technology Laboratory of mathematics and Complex Systems (Ministry of Education) School of Mathematical SciencesBeijing Normal University department of mathematics and Physics North China Electric Power University

In this paper, a critical Galton-Watson branching process{Zn}is considered. Large deviation rates of SZn:=∑i=1ZnXiare obtained, where{Xi, i≥1}is a sequence of independent and identically distributed random variables and X1is in the domain of attraction of an α-stable law with α∈(0, 2). One shall see that the convergence rate is determined by the tail index of X1and the variance of Z1. Our results can be compared with those ones of the supercritical case.

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Neural plasticity in Parkinson's disease: a neuroimaging perspective

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Neural Regeneration Research 2024年第6期19卷 1203-1205页

作者： Christina Andica Koji Kamagata department of Radiology Juntendo University Graduate School of Medicine Faculty of Health data Science Juntendo University

Parkinson’s disease(PD) is a progressive neurodegenerative disorder characterized primarily by classical motor signs of bradykinesia,rigidity,tremors,and postural instability usually manifesti ng unilate rally or at least *** disease involves a loss of dopaminergic neurons projecting from the substantia nigra pars compacta to the dorsal striatum,

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A Review and Bibliometric Analysis of the Current Studies for the 6G Networks

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2165-2206页

作者： Qusay M.Salih Md.Arafatur Rahman Ahmad Firdaus Mohammed Rajih Jassim Hasan Kahtan Jasni Mohamad Zain Ahmed Hussein Ali Faculty of Computing Universiti Malaysia Pahang Al-Sultan Abdullah(UMPSA)PekanPahang26600Malaysia department of Medical Equipment Technology Engineering Al Salam University CollegeBaghdadIraq School of mathematics and Computer Science University of WolverhamptonWolverhampton01902UK department of Production Engineering and Metallurgy University of TechnologyBaghdadIraq Cardiff School of Technologies Cardiff Metropolitan UniversityCardiffCF52YBUK Institute for big data Analytics and Artificial Intelligence(IBDAAI) Kompleks Al-KhawarizmiUniversiti Teknologi MARAShah AlamSelangor40450Malaysia department Computer Science Al-Salam University CollegeBaghdadIraq

The race to develop the next generation of wireless networks,known as Sixth Generation(6G)wireless,which will be operational in 2030,has already *** realize its full potential over the next decade,6G will undoubtedly necessitate additional improvements that integrate existing solutions with cutting-edge ***,the studies about 6G are mainly limited and scattered,whereas no bibliometric study covers the 6G ***,this study aims to review,examine,and summarize existing studies and research activities in *** study has examined the Scopus database through a bibliometric analysis of more than 1,000 papers published between 2017 and ***,we applied the bibliometric analysis methods by including(1)document type,(2)subject area,(3)author,and(4)country of *** study’s results reflect the research 6G community’s trends,highlight important research challenges,and elucidate potential directions for future research in this interesting area.

关键词： 6G bibliometric wireless networks review

Insights into rapid screening and molecular mechanism of novel Rosa roxburghii seeds pancreatic lipase/cholesterol esterase inhibitory peptides: A combined in silico and in vitro perspective

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Food Science and Human Wellness 2024年

作者： Hao Yin Jiangxiong Zhu Yu Zhong Danfeng Wang Yun Deng Linnan Yang Lutao Gao Yongli Jiang department of Food Science & Technology Shanghai Jiao Tong University Shanghai Jiao Tong University Yunnan (Dali) Research Institute School of big data Yunnan Agricultural University Faculty of Food Science and Engineering Kunming University of Science and Technology

Rosa roxburghii seeds are by-products of Rosa roxburghii processing， and their protein hydrolysates (RTSPHs) were found to possess a variety of biological activities. This study aimed to rapidly identify pancreatic lipase (PL) and cholesterol esterase (CE) inhibitory peptides in Rosa roxburghii seeds protein (RTSPHs) and to elucidate their molecular mechanisms by combining peptidomics and virtual screening. The simulated intestinal environment worsened the peptide's inhibition of PL but catalyzed the inhibition of CE. The fraction less than 3 kDa in RTSPHs was found to have the highest PL/CE inhibitory activity， among which 17 promising inhibitory peptides were identified and screened by peptidomics and virtual screening. LFCMH， RIPAGSPF， and YFRPR showed good inhibitory abilities against both PL and CE. Molecular docking showed that peptides inhibited PL and CE mainly by hydrogen bonding and hydrophobic interactions with residues in the active site and surface loop. Inhibition kinetic revealed that the peptides were competitive and mixed-type inhibitors of PL/CE. Further， the three peptides， LFCMH， RIPAGSPF， and YFRPR， could effectively inhibit 3T3-L1 preadipocytes differentiation， increase high-density lipoprotein cholesterol content and decrease low-density lipoprotein cholesterol content. This study suggests that combining peptidomics with virtual screening is an effective strategy for rapid screening of PL/CE inhibitory peptides.

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Perturbations of Dirac operators,spectral Einstein functionals and the Noncommutative residue

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Acta Mathematica Sinica,English Series 2024年

作者： Sining WEI Yong Wang School of data Science and Artificial Intelligence Dongbei University of Finance and Economics School of mathematics and Statistics Northeast Normal University

In this paper, we introduce the spectral Einstein functional for perturbations of Dirac operators on manifolds with boundary. Furthermore, we provide the proof of the Dabrowski-SitarzZalecki type theorems associated with the spectral Einstein functionals for perturbations of Dirac operators, particularly in the cases of on 4-dimensional manifolds with boundary.

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Distributed Mallows Model Averaging for Ridge Regressions

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Acta Mathematica Sinica,English Series 2024年

作者： Haili ZHANG Alan T.K.WAN Kang YOU Guohua ZOU School of Mathematical Sciences Capital Normal University Institute of Applied mathematics Shenzhen Polytechnic University department of Management Sciences and School of data Science City University of Hong Kong

Ridge regression is an effective tool to handle multicollinearity in regressions. It is also an essential type of shrinkage and regularization methods and is widely used in big data and distributed data applications. The divide and conquer trick, which combines the estimator in each subset with equal weight, is commonly applied in distributed data. To overcome multicollinearity and improve estimation accuracy in the presence of distributed data, we propose a Mallows-type model averaging method for ridge regressions, which combines estimators from all subsets. Our method is proved to be asymptotically optimal allowing the number of subsets and the dimension of variables to be *** consistency of the resultant weight estimators tending to the theoretically optimal weights is also derived. Furthermore, the asymptotic normality of the model averaging estimator is *** simulation study and real data analysis show that the proposed model averaging method often performs better than commonly used model selection and model averaging methods in distributed data cases.

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